# Twitch Videos Scraper (`easyapi/twitch-videos-scraper`) Actor A sophisticated Twitch video scraper that extracts comprehensive video data, including creator details, game information, and engagement metrics. Perfect for gaming industry research, content analysis, and trend tracking. Built with advanced anti-detection mechanisms. ๐ŸŽฎ๐Ÿ“Š - **URL**: https://apify.com/easyapi/twitch-videos-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media - **Stats:** 68 total users, 9 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Twitch Videos Scraper ๐ŸŽฎ ### ๐Ÿš€ Advanced Twitch Video Content Extraction Tool This powerful Apify Actor helps you scrape detailed information about Twitch videos based on search keywords. Perfect for content researchers, gaming analysts, and marketers looking to gather insights about video content on Twitch. #### ๐Ÿ”‘ Key Features: - ๐Ÿ” Search for Twitch videos using custom keywords - ๐Ÿ“Š Collect comprehensive video metadata and statistics - ๐ŸŽฏ Intelligent pagination - โšก Efficient data extraction - ๐ŸŽฎ Detailed game information capture #### ๐Ÿ“‹ Output Data Structure: - Video Information: - Video ID and title - Creation date and duration - View count - Preview thumbnails - Game details - Creator Details: - Channel ID and display name - Partner status - Login name - Game Information: - Game ID and name - Game slug - Display name #### ๐Ÿ’ก Use Cases: - Gaming content analysis - Trend research in gaming - Content strategy development - Competitive analysis - Audience engagement studies - Game popularity tracking #### ๐Ÿ› ๏ธ Easy to Use: 1. Enter your search keywords 2. Set maximum items to collect 3. Run the Actor 4. Get structured JSON data Perfect for both small research projects and large-scale data collection! ๐ŸŽฎโœจ #### ๐Ÿ“ˆ Benefits: - Real-time data collection - Structured JSON output - Customizable search parameters - Efficient rate limiting #### Input Example A full explanation of an input example in JSON. ```` { "keywords": \["war"], "maxItems": 30 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theย **Storage**ย tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "createdAt": "2024-10-27T09:30:10Z", "owner": { "id": "28241419", "displayName": "GingiTV", "login": "gingitv", "roles": { "isPartner": true, "\_\_typename": "UserRoles" }, "\_\_typename": "User" }, "id": "2286604074", "game": { "id": "18122", "slug": "world-of-warcraft", "name": "World of Warcraft", "displayName": "World of Warcraft", "\_\_typename": "Game" }, "lengthSeconds": 35090, "previewThumbnailURL": "https://static-cdn.jtvnw.net/cf\_vods/dgeft87wbj63p/7122d0e2d0c674dba4b1\_gingitv\_43080838200\_1730021404//thumb/thumb0-214x120.jpg", "templatePreviewThumbnailURL": "https://static-cdn.jtvnw.net/cf\_vods/dgeft87wbj63p/7122d0e2d0c674dba4b1\_gingitv\_43080838200\_1730021404//thumb/thumb0-{width}x{height}.jpg", "title": " !DROPS Road to R1 !Dungeon !UI", "viewCount": 97405, "previewThumbnailProperties": { "blurReason": "BLUR\_NOT\_REQUIRED", "\_\_typename": "PreviewThumbnailProperties" }, "\_\_typename": "Video", "keyword": "war" }, { "createdAt": "2024-10-27T11:16:07Z", "owner": { "id": "61294188", "displayName": "AnnieFuchsia", "login": "anniefuchsia", "roles": { "isPartner": true, "\_\_typename": "UserRoles" }, "\_\_typename": "User" }, "id": "2286646012", "game": { "id": "18122", "slug": "world-of-warcraft", "name": "World of Warcraft", "displayName": "World of Warcraft", "\_\_typename": "Game" }, "lengthSeconds": 44481, "previewThumbnailURL": "https://static-cdn.jtvnw.net/cf\_vods/dgeft87wbj63p/fa343200f507be9541f6\_anniefuchsia\_43081538264\_1730027760//thumb/thumb0-214x120.jpg", "templatePreviewThumbnailURL": "https://static-cdn.jtvnw.net/cf\_vods/dgeft87wbj63p/fa343200f507be9541f6\_anniefuchsia\_43081538264\_1730027760//thumb/thumb0-{width}x{height}.jpg", "title": "โœ… !Drops | Collecting all the things | @anniefuchsia on socials", "viewCount": 77781, "previewThumbnailProperties": { "blurReason": "BLUR\_NOT\_REQUIRED", "\_\_typename": "PreviewThumbnailProperties" }, "\_\_typename": "Video", "keyword": "war" }, ... ] ```` # Actor input Schema ## `keywords` (type: `array`): List of keywords to search for Twitch videos ## `maxItems` (type: `integer`): Maximum number of videos to scrape (per keyword) ## Actor input object example ```json { "keywords": [ "war" ], "maxItems": 30 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/twitch-videos-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/twitch-videos-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/twitch-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/twitch-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitch Videos Scraper", "description": "A sophisticated Twitch video scraper that extracts comprehensive video data, including creator details, game information, and engagement metrics. Perfect for gaming industry research, content analysis, and trend tracking. Built with advanced anti-detection mechanisms. ๐ŸŽฎ๐Ÿ“Š", "version": "0.0", "x-build-id": "XjpT0i5Mv6Sj8bhWy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~twitch-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-twitch-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~twitch-videos-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-twitch-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~twitch-videos-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-twitch-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords", "minItems": 1, "type": "array", "description": "List of keywords to search for Twitch videos", "default": [ "war" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of videos to scrape (per keyword)", "default": 30 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```